Abstract
This paper describes an application of terrain analysis where a national dataset of landform elements derived from a 25 m resolution national digital terrain model has been used to underpin soil-landscape modelling in the complex steepland terrain of New Zealand. This research supports S-map, a new initiative to improve New Zealand’s soil databases. Landform elements are derived from a fuzzy classification based on local geometry (curvature and slope) and landscape context, and provide a primary foundation for mapping soil distribution in steepland land systems, which significantly improves knowledge of soil distribution on hillslopes in complex landscapes, and over a wide range of land systems. So far, land elements and soil-landscape models have been used to model soil distribution in more than 10 distinct land systems (covering over 10% of New Zealand’s total steeplands area).
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References
Adams, J.A., (1970), A study of soil sequences in relation to the growth of Pinus radiata in Nelson, unpublished PhD thesis, Lincoln University, Canterbury, New Zealand.
Barringer, J.R.F., McNeill, S. and Pairman, D., (2002), Progress on assessing the accuracy of a high resolution digital elevation model for New Zealand, Proceedings 5th International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Data, 10–12 July, (2002), Melbourne: 187–195.
Bell, C.J.E., (1973), Mountain soils and vegetation in the Owen Range, Nelson. 1. The soils, New Zealand Journal of Botany, 11: 49–72.
Burrough, P.A., van Gaans, P. and Hootsman, R.J., (1997), Continuous classification in soil survey: spatial correlation, confusion and boundaries, Geoderma, 77, 115–135.
Chittenden, E.T., Hodgson, L. and Dodson, K.J. (1966), Soils and agriculture of Waimea County, New Zealand, Soil Bureau Bulletin 30, Wellington: DSIR.
Clayden, B. and Webb, T.H., (1994), Criteria for Defining the Soilform - the Fourth Category of the New Zealand Soil Classification, Landcare Research Science Series No. 3.
Dikau, R., (1989), The application of a digital relief model to landform analysis in geomorphology, In Raper, J. (ed.): Three Dimensional Applications in Geographical Information Systems, London: Taylor and Francis.
Dymond, J.R., De Rose, R.C. and Harmsworth, G.R. (1995), Automated mapping of land components from digital elevation data, Earth Surfaces Processes and Landforms, (20)2: 131–137.
Gessler, P.E., Moore, I.D., McKenzie, N.J. and Ryan, P.J., (1995), Soil-landscape modelling and spatial prediction of soil attributes, International Journal of Geographical Information Systems, (9)4: 421–432.
Grunwald, S. (ed.) (2006), Environmental Soil–Landscape Modelling: Geographic Information Technologies and Pedometrics, London: Taylor & Francis.
Harmsworth, G.R., Dymond, J.R. and McLeod, M., (1995), Automated mapping of soils in hilly terrain using DTMs: a New Zealand example, ITC Journal, 2:87–94.
Hewitt, A.E., (1998), New Zealand Soil Classification, Landcare Research Science Series No. 1, Lincoln: Manaaki Whenua Press.
Leathwick, J., Wilson, G., Rutledge, D., Wardle, P., Morgan, F., Johnston, K., McLeod, M. and Kirkpatrick, R., (2003), Land Environments of New Zealand, Ministry for the Environment, Auckland: David Bateman.
Lilburne, L., Hewitt, A.E., McIntosh, P.D. and Lynn, I.H., (1998), GIS-driven models of soil properties in the high country of the South Island, Proceedings of the 10th Colloquium of the Spatial Information Research Centre, University of Otago, New Zealand: 173–180.
Lilburne, L., Hewitt, A.E., Webb, T.H. and Carrick, S., (2004), S-map : a new soil database for New Zealand, Proceedings of SuperSoil (2004): 3rd Australian New Zealand Soils Conference, Sydney, Australia.
Lynn, I.H., Lilburne, L.R. and McIntosh, P.D. (2002), Testing a soil–landscape model for dry greywacke steeplands on three mountain ranges in the South Island, New Zealand, Australian Journal of Soil Research, 40: 243–255.
McBratney, A.B., Mendonça Santos, M.L. and Minasny, B., (2003), On digital soil mapping, Geoderma, 117: 3–52.
McIntosh, P.D., Lynn, I.H. and Johnstone, P.D., (2000), Creating and testing a geometric soil–landscape model in dry steeplands using a very low sampling density, Australian Journal of Soil Research, 38: 101–112.
McLeod, M., Rijkse, W.C. and Dymond, J.R., (1995), A soil-landscape model for close-jointed mudstone, East Cape, North Island, New Zealand, Australian Journal Soil Science, (33)3: 381–396.
Rodriguez, F., Maire, E., Courjalt–Rade, P. and Darrozes, J., (2002), The Black Top Hat function applied to a DEM: a tool to estimate recent incision in a mountainous watershed (Estibere Watershed, Central Pyrenees), Geophysical Research Letters, (29)6: 91–94.
Schmidt, J., Evans, I.S. and Brinkmann, J., (2003), Comparison of polynomial models for land surface curvature calculation, International Journal Geographical Information Science, (17)8, 797–814.
Schmidt, J. and Hewitt, A.E., (2004), Fuzzy land element classification from DTMs based on geometry and terrain position, Geoderma, 121: 243–256.
Schmidt, J., Tonkin, P. and Hewitt, A.E., (2005), Quantitative soil-landscape models for the Haldon and Hurunui soil sets, New Zealand, Australian Journal Soil Research, 43: 127–137.
Schmidt, J. and Andrew, R., (2005), Multi-scale landform characterization, Area, (37)3: 341–350.
Shary, P., Sharaya, L.S. and Mitusov, A.V., (2002), Fundamental quantitative methods of land surface analysis, Geoderma, 107: 1–32.
Webb, T.H., (2003), Identification of functional horizons to predict physical properties for soils from alluvium in Canterbury, New Zealand, Australian Journal Soil Research: 1005–1019.
Wilson, J.P. and Gallant, J.C. (eds.) (2000): Terrain Analysis: Principles and Applications, New York: John Wiley.
Wood, J., (1996), The geomorphological characterisation of digital elevation models, Ph.D. Thesis, Department of Geography, University of Lancaster, United Kingdom.
Zhu, A.X., Hudson, B., Burt, J., Lubich, K. and Simonson, D., (2001), Soil mapping using GIS, expert knowledge, and fuzzy logic, Soil Science Society America Journal, 65: 1463–1472.
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BARRINGER, J.R., HEWITT, A.E., LYNN, I.H., SCHMIDT, J. (2008). National Mapping of Landform Elements in Support of S-Map, A New Zealand Soils Database. In: Zhou, Q., Lees, B., Tang, Ga. (eds) Advances in Digital Terrain Analysis. Lecture Notes in Geoinformation and Cartography. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77800-4_24
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DOI: https://doi.org/10.1007/978-3-540-77800-4_24
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